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A
edu\class0\utils.py
3 1 -
A
semantic_segmentation\configs\segmenter\segmenter_Large_480x480_160k_pascal_content_bs_16.yaml
 2 -
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image_classification\MobileOne\main_multi_gpu.py
60 1 -
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semantic_segmentation\configs\segmenter\segmenter_base_512x512_160k_ade20k_bs_16.yaml
 3 -
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image_classification\CrossViT\augment.py
66 3 -
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semantic_segmentation\configs\segmenter\segmenter_base_distilled_linear_512x512_160k_ade20k_bs_16.yaml
 3 -
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image_classification\MobileOne\mobileone.py
68 1 -
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semantic_segmentation\configs\segmenter\segmenter_small_512x512_160k_ade20k_bs_16.yaml
 4 -
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image_classification\BoTNet\datasets.py
18 6 -
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semantic_segmentation\src\transforms\transforms.py
92 7 -
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semantic_segmentation\src\transforms\functional.py
14 4 -
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semantic_segmentation\src\datasets\vaihingen.py
9 4 -
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semantic_segmentation\configs\upernet_swin\upernet_swin_small_patch4_windown7_512x512_160k_ade20k.yaml
 3 -
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semantic_segmentation\configs\topformer\topformer_tiny_512x512_160k_4x8_ade20k.yaml
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semantic_segmentation\configs\setr\SETR_PUP_Large_512x512_160k_ade20k_bs_16.yaml
 5 -
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semantic_segmentation\configs\setr\SETR_MLA_Large_512x512_160k_ade20k_bs_8.yaml
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edu\class4\transforms.py
12 1 -
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image_classification\ConvNeXt\configs\convnext_xlarge.yaml
 1 -
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image_classification\MobileFormer\configs\mobileformer_96m.yaml
 1 -
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object_detection\Swin\det_heads\retinanet_head\config.py
 1 -